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2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)最新文献

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A DSL for the Development of Heterogeneous Applications 用于开发异构应用程序的DSL
2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2017-08-21 DOI: 10.1109/FICLOUDW.2017.108
D. Alulema, L. Iribarne, J. Criado
{"title":"A DSL for the Development of Heterogeneous Applications","authors":"D. Alulema, L. Iribarne, J. Criado","doi":"10.1109/FICLOUDW.2017.108","DOIUrl":"https://doi.org/10.1109/FICLOUDW.2017.108","url":null,"abstract":"This work presents a preliminary proposal of a simple architecture for the development of heterogeneous applications, in order to allow the interoperability of applications in digital TV, mobile and web, for its incorporation in IoT. An MDA-based architecture is presented to develop applications based on a high-level abstraction, for which a brief review of MDA concepts and the state of the art is made. It is made a description of the domain of the TVdigital as an actor that has not been considered in previous works, and finally the proposal is explained using UML diagrams establishing four stages: Application Frontend Architecture, Service Architecture, Negotiation Logic, And Data Access Layer; And the development of a DSL as a tool for the application of the architecture is presented.","PeriodicalId":433350,"journal":{"name":"2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"31 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115841926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
The Use of Entropy Measure for Higher Quality Machine Learning Algorithms in Text Data Processing 在文本数据处理中使用熵量来提高机器学习算法的质量
2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2017-08-01 DOI: 10.1109/FiCloudW.2017.84
A. Guseva, I. A. Kuznetsov
{"title":"The Use of Entropy Measure for Higher Quality Machine Learning Algorithms in Text Data Processing","authors":"A. Guseva, I. A. Kuznetsov","doi":"10.1109/FiCloudW.2017.84","DOIUrl":"https://doi.org/10.1109/FiCloudW.2017.84","url":null,"abstract":"A large number of text data are regularly published in social networks and the media. Processing and analysis of such information is an highly required direction. This paper focuses on the way to use the entropy measure when dealing with big volumes of text data in classification. The used entropy measure stands for algorithm quality criteria when defining a class in a set of data. The work also features a comparative efficiency analysis of the proposed approach used with different number of classes and diverse machine learning algorithms. The Entropy measure can be used to build a committee of voting algorithms afterwards as well.","PeriodicalId":433350,"journal":{"name":"2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"178 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120917877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Sensing for the Internet of Things and Its Applications 物联网传感及其应用
2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2017-08-01 DOI: 10.1109/FiCloudW.2017.94
Salha M. Alzahrani
{"title":"Sensing for the Internet of Things and Its Applications","authors":"Salha M. Alzahrani","doi":"10.1109/FiCloudW.2017.94","DOIUrl":"https://doi.org/10.1109/FiCloudW.2017.94","url":null,"abstract":"The Internet of Things (IoT) has recently become a dominating technology which allows different \"things\" to communicate through the Internet and understand each other. IoT uses Artificial Intelligence techniques to process data gathered by different sensors and act accordingly. The world is now moving towards employing IoT in different disciplines such as manufacturing, agriculture, education, commercialization, smart homes, auto cars, and almost everywhere. The explosive growth of IoT is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. Thus in this paper, we present the topic of \"sensing\" with liquids, weather, soil, smoke, and distance measures. GPS-based location acquisition is also part of several applications presented here. Sensors are used for data acquisition and IoT devices are used for data exchange through a web server. Different sensors are introduced and linked with in-house, easy-to-customise and low-price IoT systems connected to mobile applications. Our paper demonstrates that IoT is powerful and ubiquitous and can be implemented in large-scale applications including managing liquids, controlling the stocks, building alarm systems, smart home control, smart irrigation, and alike.","PeriodicalId":433350,"journal":{"name":"2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114438826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 21
A Systematic Approach to Describing the Source Code of a Cloud Platform with Assured Security 一种系统的安全云平台源代码描述方法
2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2017-08-01 DOI: 10.1109/FiCloudW.2017.78
Dmitry Demidov
{"title":"A Systematic Approach to Describing the Source Code of a Cloud Platform with Assured Security","authors":"Dmitry Demidov","doi":"10.1109/FiCloudW.2017.78","DOIUrl":"https://doi.org/10.1109/FiCloudW.2017.78","url":null,"abstract":"the paper addresses the problem of describing the source code of large-scale software to pass security assurance activities of ISO IEC 15408. The software under discussion is a private cloud platform with linux-based core and OpenStack libraries – Rustack1. We present an approach to deal with big source code base and a web-oriented framework for describing the source code and maintaining implementation representation up-to-date.","PeriodicalId":433350,"journal":{"name":"2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125606210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The Analysis of Big Data and the Accuracy of Financial Reports 大数据分析与财务报告准确性
2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2017-08-01 DOI: 10.1109/FiCloudW.2017.93
V. Suyts, A. S. Shadrin, P. Leonov
{"title":"The Analysis of Big Data and the Accuracy of Financial Reports","authors":"V. Suyts, A. S. Shadrin, P. Leonov","doi":"10.1109/FiCloudW.2017.93","DOIUrl":"https://doi.org/10.1109/FiCloudW.2017.93","url":null,"abstract":"The results of big data's analysis used in the audit of financial statements allowed revealing the occurrence of accounting misstatements, herewith full and timely implementation of audit procedures did not provide an opportunity to determine these misstatements.","PeriodicalId":433350,"journal":{"name":"2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132369971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Context-Aware Enterprise Modelling towards Agile Models Development 面向敏捷模型开发的上下文感知企业建模
2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2017-08-01 DOI: 10.1109/FiCloudW.2017.109
Julia Bilinkis, Anastasia Zueva, E. Zaytseva
{"title":"Context-Aware Enterprise Modelling towards Agile Models Development","authors":"Julia Bilinkis, Anastasia Zueva, E. Zaytseva","doi":"10.1109/FiCloudW.2017.109","DOIUrl":"https://doi.org/10.1109/FiCloudW.2017.109","url":null,"abstract":"Nowadays complex and dynamic business environments require easy and hands-on methods for enterprise modelling that recalibrate models constantly. This article describes a set of tools and techniques for enriching organizational models with semantic information and adjusting them on request. Firstly, we propose an approach for binding the model with relevant documents and experts. Secondly, we define factors that trigger models' changes using company's information environment (field). Thirdly, we introduce an agile enterprise modelling framework that automatically adapts to the business situation, creating context-aware working environment for employees. Forth, we present an implementation of it that was undertaken in one of the leading Russian banks.","PeriodicalId":433350,"journal":{"name":"2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131878183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Deriving Cognitive Map Concepts on the Basis of Social Media Data Clustering 基于社交媒体数据聚类的认知地图概念推导
2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2017-08-01 DOI: 10.1109/FiCloudW.2017.103
V. Kireev
{"title":"Deriving Cognitive Map Concepts on the Basis of Social Media Data Clustering","authors":"V. Kireev","doi":"10.1109/FiCloudW.2017.103","DOIUrl":"https://doi.org/10.1109/FiCloudW.2017.103","url":null,"abstract":"With data storage and processing technology developing fast, there has been accumulated a great amount of open data that comes from everywhere including social media. One of the promising tools to analyze these data is fuzzy cognitive maps that help to describe connections and substances to reveal patterns, facts and knowledge. One of the problems when creating cognitive maps is the identification of concepts and relations between them, which is usually solved by the expert way. However, this approach is not always effective. This work tries to solve the topical issue of automatic cognitive map building based on cluster analysis methods. The article features both the proposed cognitive map building algorithm description and the results of Twitter data-based experiments.","PeriodicalId":433350,"journal":{"name":"2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116421573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A Data Streaming Approach to Link Mining in Criminal Networks 犯罪网络中链接挖掘的数据流方法
2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2017-08-01 DOI: 10.1109/FiCloudW.2017.88
G. Marciani, M. Porretta, Matteo Nardelli, G. Italiano
{"title":"A Data Streaming Approach to Link Mining in Criminal Networks","authors":"G. Marciani, M. Porretta, Matteo Nardelli, G. Italiano","doi":"10.1109/FiCloudW.2017.88","DOIUrl":"https://doi.org/10.1109/FiCloudW.2017.88","url":null,"abstract":"The ability to discover patterns of interest in criminal networks can support and ease the investigation tasks by security and law enforcement agencies. By considering criminal networks as a special case of social networks, we can properly reuse most of the state-of-the-art techniques to discover patterns of interests, i.e., hidden and potential links. Nevertheless, in time-sensible scenarios, like the one involving criminal actions, the ability to discover patterns in a (near) real-time manner can be of primary importance.In this paper, we investigate the identification of patterns for link detection and prediction on an evolving criminal network. To extract valuable information as soon as data is generated, we exploit a stream processing approach. To this end, we also propose three new similarity social network metrics, specifically tailored for criminal link detection and prediction. Then, we develop a flexible data stream processing application relying on the Apache Flink framework; this solution allows us to deploy and evaluate the newly proposed metrics as well as the ones existing in literature. The experimental results show that the new metrics we propose can reach up to 83% accuracy in detection and 82% accuracy in prediction, resulting competitive with the state of the art metrics.","PeriodicalId":433350,"journal":{"name":"2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125946168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Dynamic Network Analysis of the Euro2016 Final: Preliminary Results 2016欧洲杯决赛动态网络分析:初步结果
2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2017-08-01 DOI: 10.1109/FiCloudW.2017.98
Pavlina Kröckel, Alexander Piazza, K. Neuhofer
{"title":"Dynamic Network Analysis of the Euro2016 Final: Preliminary Results","authors":"Pavlina Kröckel, Alexander Piazza, K. Neuhofer","doi":"10.1109/FiCloudW.2017.98","DOIUrl":"https://doi.org/10.1109/FiCloudW.2017.98","url":null,"abstract":"Social networks have been applied in football, or football match analysis to analyze the passing distributions between teams. However, analysis has been mostly done on a manually collected data by considering the widely adopted network metrics such as betweenness and closeness centrality. In this paper, we use professional tracking event data provided by OPTA Sports and analyze the final game of the Euro2016 between Portugal and France. We use Gephi and the NetworkX Python library and apply dynamic network analysis by integrating the timestamps of the passes. We further look into traditional performance metrics from both teams and make an attempt to connect those to the network results and the outcome of the game.","PeriodicalId":433350,"journal":{"name":"2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126180815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Big Data, Cost and Emission Reporting in Process Industry 过程工业的大数据、成本和排放报告
2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2017-08-01 DOI: 10.1109/FiCloudW.2017.69
E. Hämäläinen, E. Twrdy
{"title":"Big Data, Cost and Emission Reporting in Process Industry","authors":"E. Hämäläinen, E. Twrdy","doi":"10.1109/FiCloudW.2017.69","DOIUrl":"https://doi.org/10.1109/FiCloudW.2017.69","url":null,"abstract":"This paper focuses on examining how to develop and combine cost management, sustainability and emission reporting systems by utilizing Big Data. We provide evidence that shows how Big Data brings company-wide business benefits if data queries and interfaces are built to be interactive, intuitive and user friendly. Proper algorithm design and programming is a key factor in order to make the most of the Big Data. This paper presents ideas on how to refine raw data into valuable information that can serve many types of end users, decision makers and even external auditors. In addition, examples of the methods and reports will be provided.","PeriodicalId":433350,"journal":{"name":"2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121560717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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